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dc.contributor.authorMohiuddin B.
dc.contributor.authorKivade S.B.
dc.contributor.authorRajole S.
dc.date.accessioned2021-05-05T10:15:48Z-
dc.date.available2021-05-05T10:15:48Z-
dc.date.issued2021
dc.identifier.citationLecture Notes in Mechanical Engineering , Vol. , , p. 589 - 598en_US
dc.identifier.urihttps://doi.org/10.1007/978-981-15-4779-9_40
dc.identifier.urihttp://idr.nitk.ac.in/jspui/handle/123456789/14808-
dc.description.abstractEvery machine with the relative motion of parts produces sound and vibration. All the gear boxes usually generate vibrations and respective vibration signatures may be taken as referable characteristics if the condition of the gear is good. During working condition, whenever fault occurs, it may result in serious damage of the gear box. The change in the gear pair meshing could result in changes in vibration signals. The accelerometer mounting on the gear box system is the accurate task for assessment of pair of gear. So the technique of monitoring the condition is very essential to prevent and diagnose the vibration of gear box. Nowadays damage identification and condition monitoring of gear boxes in the industrial machinery have received more attention from the researchers. To analyze the various fault and problems related with gear box failure in a working environment efficiently and accurately, few technologies like material technology, information technology, and processing of signals, etc. bring latest solutions. For the assessment of industrial gear boxes, many investigations are carried out for monitoring the condition of machinery. Signal processing and vibration analysis techniques are well known and much suitable for industrial practices. Since, the signals of vibrations from the gear box are transient and non-stationary in nature. Every technique has some disadvantages and may not be used in all condition, i.e., few failure detection is not possible by simple vibration method. At an early stage, simple analysis by spectral is not very successful to find the injury of gear. © 2021, Springer Nature Singapore Pte Ltd.en_US
dc.titleFault Detection and Health Condition Analysis of Single Stage Gear Box Systemen_US
dc.typeConference Paperen_US
Appears in Collections:2. Conference Papers

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